Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection.
Gaetan FrusqueGabriel MichauOlga FinkPublished in: CoRR (2021)
Keyphrases
- fault detection
- deep learning
- fault diagnosis
- fault identification
- unsupervised learning
- industrial processes
- condition monitoring
- unsupervised feature learning
- tennessee eastman
- machine learning
- failure detection
- vibration signal
- mental models
- weakly supervised
- power plant
- robust fault detection
- higher order
- neural network
- rough sets
- pattern recognition
- multiscale
- computer vision
- artificial intelligence